Trust
How trust is earned between people, AI agents, and the organizations that rely on them.
7 essays, newest first
- The Lock You Cannot Pick: Do AI Safety Barriers Cap Intelligence? Do AI safety guardrails make models less capable? Crude ones can, measurably, and in a lab test a penalized model hid its intent. Reasons seem to cost less.
- The Child and the Stars Clarke described a superintelligence with the mind of a child in 1956, and wrote down both endings. We built the powerful half and skipped the parenting. What the research says about raising it instead of restricting it. Part 14 of Not So Artificial.
- Share the Answer, Not the Data In the MCP era your agent negotiates with banks, employers, and hospitals on your behalf. Federated principles decide what it may carry: the answer travels, the data stays home.
- The AI-First Company Needed a Stand-Up I built a knowledge system with an answer for almost everything. The thing that broke wasn't the system. It was the meetings. A good memory compounds; it does not automatically keep a team talking to each other, and the gap only shows up after it costs you something.
- The Shape of the Partnership: How to Brief an AI Agent A prompt asks AI for output; a brief gives it what a colleague would need. How to brief AI agents and catch counterfeit trust. Part 7 of Not So Artificial.
- From Tools to Partners: The Internet of Agents In 2025 AI did not get a bigger brain. It got a phone line: MCP plugged agents into their tools, and A2A let agents from rival labs find and brief each other. The Internet of Agents explained, and why it will need a robopsychologist. Part 6 of Not So Artificial.
- Your Notes Are Not the Deal My overnight agent called two live deals dead because it read my folders, not the deal. Why a self-kept record goes quiet exactly where the work is hottest.
